Moogi Bharath

Fresher AI/ML engineer with hands-on experience building LLM-integrated applications, prompt engineering pipelines, and embeddings-based semantic retrieval systems. Skilled in Python and SQL, with applied exposure to API integration, cloud (AWS) deployment, and data validation across production-style backend systems (FastAPI, PostgreSQL). Implemented basic authentication/authorization, application logging, and CI/CD (GitHub Actions) across all projects, following secure SDLC and version control (Git) practices, with growing interest in frontier AI risk patterns, RAG pipelines, and layered defense approaches for enterprise AI systems.

B.Tech in ECE (CSE minor); fast learner comfortable with structured technical playbooks and cross-functional documentation.

AI/ML Intern at PRAJNA (University-affiliated AI Platform) (Present)

Mentor: Navaneeth Kumar

• Designed a PostgreSQL-based data migration architecture and a 14-week phased ETL rollout plan using Airflow/Step Functions for large-scale, authorized structured and unstructured university web data.
• Built Python scraping and data validation scripts to structure and verify raw data feeding downstream analytics pipelines, reducing manual review effort.
• Worked with AWS CDK and TypeScript to define and deploy cloud infrastructure supporting secure API-integrated data pipeline components with basic authentication, logging, and a CI/CD (GitHub Actions) workflow for automated testing and build/deploy automation.

Data Analytics Intern at DataXLabs (Convergence Inc.)

• Performed data cleaning, exploratory analysis, and data validation on business datasets using Python (Pandas) and SQL.
• Built dashboards and visual summaries, documenting findings and anomalies to support data-driven decision-making for stakeholders.

B.Tech in Electronics & Communication Engineering (CSE Minor) – GITAM Deemed University